The learning of fundamental quantum properties—namely coherence, discord, and entanglement—benchmarks the security, computational, and metrological capability of noisy …
We provide an adaptive learning algorithm for tomography of general quantum states. Our proposal is based on the simultaneous perturbation stochastic approximation algorithm and …
J ur Rehman, H Shin - 한국통신학회 …, 2020 - journal-home.s3.ap-northeast-2 …
We analyze the entanglement-based optimal parameter estimation protocol of Pauli channel under noise. Specifically, we consider that the prepared probes undergo depolarizing noise …
MA Ullah, J ur Rehman, H Shin - 한국통신학회 …, 2020 - journal-home.s3.ap-northeast-2 …
The presence of quantum noise during parameter estimation reduces precision in the estimate to sub-Heisenberg scaling. Ancilla-assisted bipartite entangled probes generally …
A Farooq, H Shin - 한국통신학회학술대회논문집, 2020 - journal-home.s3.ap-northeast-2 …
Hedge maximum-likelihood estimation (HMLE) overcomes the problem of the rank deficient state which is present in maximum-likelihood estimation. HMLE is the quantum version of …
MMU Gondel, A Farooq, H Shin - 한국통신학회학술대회논문집, 2022 - dbpia.co.kr
Quantum state preparation is an important ingredient in successfully implementing higher- level quantum algorithms. The information is first encoded into a quantum state for a …
FH Dzulfikar, MS Ulum, A Farooq, H Shin - 한국통신학회학술대회논문집, 2022 - dbpia.co.kr
Shor algorithm is one of the most spectacular discoveries in quantum computing; that quantum computer can solve problems which is not feasible on a classical computer …
Effect of Purity on Maximum Likelihood Quantum State Tomography Page 1 Effect of Purity on Maximum Likelihood Quantum State Tomography Syed Tihaam Ahmad, Ahmad Farooq, Junaid …